mindspore2022/mindspore/ccsrc/minddata/dataset/engine/perf/profiling.cc

/**
 * Copyright 2020 Huawei Technologies Co., Ltd
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
#include "minddata/dataset/engine/perf/profiling.h"
#include <sys/time.h>
#include <cstdlib>
#include <fstream>
#include "utils/ms_utils.h"
#include "minddata/dataset/util/path.h"
#include "minddata/dataset/engine/perf/monitor.h"
#include "minddata/dataset/engine/perf/device_queue_tracing.h"
#include "minddata/dataset/engine/perf/connector_size.h"
#include "minddata/dataset/engine/perf/connector_throughput.h"
#include "minddata/dataset/engine/perf/dataset_iterator_tracing.h"
#ifndef ENABLE_ANDROID
#include "utils/log_adapter.h"
#else
#include "mindspore/lite/src/common/log_adapter.h"
#endif

namespace mindspore {
namespace dataset {

// Constructor
ProfilingManager::ProfilingManager(ExecutionTree *tree) : tree_(tree) {
  perf_monitor_ = std::make_unique<Monitor>(tree_);
}

bool ProfilingManager::IsProfilingEnable() const {
  auto profiling = common::GetEnv("PROFILING_MODE");
  if (profiling.empty() || profiling != "true") {
    return false;
  }
  return true;
}

Status ProfilingManager::Initialize() {
  // Register nodes based on config
  std::string dir = common::GetEnv("MINDDATA_PROFILING_DIR");
  if (dir.empty()) {
    RETURN_STATUS_UNEXPECTED("Profiling dir is not set.");
  }
  char real_path[PATH_MAX] = {0};
  if (dir.size() >= PATH_MAX) {
    RETURN_STATUS_UNEXPECTED("Profiling dir is invalid.");
  }
#if defined(_WIN32) || defined(_WIN64)
  if (_fullpath(real_path, common::SafeCStr(dir), PATH_MAX) == nullptr) {
    RETURN_STATUS_UNEXPECTED("Profiling dir is invalid.");
  }
#else
  if (realpath(common::SafeCStr(dir), real_path) == nullptr) {
    RETURN_STATUS_UNEXPECTED("Profiling dir is invalid.");
  }
#endif
  dir_path_ = real_path;

  // If DEVICE_ID is not set,defult value is 0
  device_id_ = common::GetEnv("DEVICE_ID");
  if (device_id_.empty()) {
    device_id_ = "0";
  }

  // Register all profiling node.
  // device_queue node is used for graph mode
  std::shared_ptr<Tracing> device_queue_tracing = std::make_shared<DeviceQueueTracing>();
  RETURN_IF_NOT_OK(RegisterTracingNode(device_queue_tracing));

  // dataset_iterator node is used for graph mode
  std::shared_ptr<Tracing> dataset_iterator_tracing = std::make_shared<DatasetIteratorTracing>();
  RETURN_IF_NOT_OK(RegisterTracingNode(dataset_iterator_tracing));

  std::shared_ptr<Sampling> connector_size_sampling = std::make_shared<ConnectorSize>(tree_);
  RETURN_IF_NOT_OK(RegisterSamplingNode(connector_size_sampling));

  std::shared_ptr<Sampling> connector_thr_sampling = std::make_shared<ConnectorThroughput>(tree_);
  RETURN_IF_NOT_OK(RegisterSamplingNode(connector_thr_sampling));

  return Status::OK();
}

// Launch monitoring thread.
Status ProfilingManager::LaunchMonitor() {
  RETURN_IF_NOT_OK(tree_->AllTasks()->CreateAsyncTask("Monitor Thread launched", std::ref(*perf_monitor_)));
  return Status::OK();
}

// Profiling node registration
Status ProfilingManager::RegisterTracingNode(std::shared_ptr<Tracing> node) {
  // Check if node with the same name has already been registered.
  auto exist = tracing_nodes_.find(node->Name());
  if (exist != tracing_nodes_.end()) {
    return Status(StatusCode::kProfilingError, "Profiling node already exist: " + node->Name());
  }
  // Register the node with its name as key.
  RETURN_IF_NOT_OK(node->Init(dir_path_, device_id_));
  tracing_nodes_[node->Name()] = node;
  return Status::OK();
}

// Profiling node getter
Status ProfilingManager::GetTracingNode(const std::string &name, std::shared_ptr<Tracing> *node) {
  // Check if node with the same name has already been registered.
  auto exist = tracing_nodes_.find(name);
  if (exist == tracing_nodes_.end()) {
    return Status(StatusCode::kProfilingError, "Profiling node does not exist: " + name);
  }
  // Fetch node.
  *node = tracing_nodes_[name];
  return Status::OK();
}

// Profiling node registration
Status ProfilingManager::RegisterSamplingNode(std::shared_ptr<Sampling> node) {
  // Check if node with the same name has already been registered.
  auto exist = sampling_nodes_.find(node->Name());
  if (exist != sampling_nodes_.end()) {
    return Status(StatusCode::kProfilingError, "Profiling node already exist: " + node->Name());
  }
  // Register the node with its name as key.
  RETURN_IF_NOT_OK(node->Init(dir_path_, device_id_));
  sampling_nodes_[node->Name()] = node;
  return Status::OK();
}

// Profiling node getter
Status ProfilingManager::GetSamplingNode(const std::string &name, std::shared_ptr<Sampling> *node) {
  // Check if node with the same name has already been registered.
  auto exist = sampling_nodes_.find(name);
  if (exist == sampling_nodes_.end()) {
    return Status(StatusCode::kProfilingError, "Profiling node does not exist: " + name);
  }
  // Fetch node.
  *node = sampling_nodes_[name];
  return Status::OK();
}

Status ProfilingManager::SaveProfilingData() {
  if (!IsProfilingEnable()) {
    return Status::OK();
  }
  MS_LOG(INFO) << "Start to save profiling data.";
  for (auto node : tracing_nodes_) {
    RETURN_IF_NOT_OK(node.second->SaveToFile());
  }
  for (auto node : sampling_nodes_) {
    RETURN_IF_NOT_OK(node.second->SaveToFile());
  }
  MS_LOG(INFO) << "Save profiling data end.";
  return Status::OK();
}

int64_t ProfilingTime::GetCurMilliSecond() {
  // because cpplint does not allow using namespace
  using std::chrono::duration_cast;
  using std::chrono::milliseconds;
  using std::chrono::steady_clock;
  return duration_cast<milliseconds>(steady_clock::now().time_since_epoch()).count();
}
}  // namespace dataset
}  // namespace mindspore